GEO / AI answers skills

Run a full Generative Engine Optimization audit on a site, score how well it gets cited by AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini) and return a prioritized, client-ready findings set. Orchestrates citability scoring, AI-crawler access, llms.txt, schema, platform readiness, and AI-visibility checks into one scored report input.

Measure a brand's visibility inside AI answer engines. Run the client's key buyer prompts through ChatGPT, Perplexity, Google AI Overviews, and Gemini and record whether the brand is mentioned, cited (linked), the sentiment, and which competitor gets named instead. Tracks share-of-AI-voice and the citation gap vs competitors over time.

Score how citable a web page is for AI answer engines (ChatGPT, Claude, Perplexity, Gemini) (a 0-100 citability score across answer-block quality, fact density, structure/extractability, and E-E-A-T) then return specific rewrites that make passages easy for AI to extract and quote. Built on the research that AI cites self-contained, ~130-170-word, fact-rich, answer-first passages.

Run the Generative Engine Optimization (GEO) service end to end, get a site cited by AI answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude) and sell it as a productized agency offering. Routes the GEO workflow: prospect → full GEO audit → citability + technical + schema + llms.txt fixes → platform-specific tuning → AI-visibility monitoring → client report + retainer.

Optimize a site for the specific AI answer engines that matter to the client (Google AI Overviews, ChatGPT/SearchGPT, Perplexity, and Gemini) because each cites differently.

Turn a GEO audit into a polished, client-facing Generative Engine Optimization report (Markdown + PDF), combine citability, technical/AI-readability, schema/llms.txt, per-engine readiness, and AI-visibility-vs-competitors into one branded deliverable with an overall score, business-impact narrative, and a prioritized fix roadmap (quick wins vs strategic).

Make a site machine-legible to AI answer engines, audit and fix AI-crawler access (robots.txt/meta for GPTBot, ClaudeBot, PerplexityBot, Google-Extended, OAI-SearchBot), JS-rendering risk, the llms.txt standard, and Schema.org structured data (detect, validate, generate correct JSON-LD). You can't be cited if the AI can't read you.